\nAbout Sayari: \nSayari is the counterparty and supply chain risk intelligence provider trusted by government agencies, multinational corporations, and financial institutions. Its intuitive network analysis platform surfaces hidden risk through integrated corporate ownership, supply chain, trade transaction and risk intelligence data from over 250 jurisdictions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.\n\n\nOur company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.\n\n\nJob Description:\nSayari’s flagship product, Sayari Graph, provides instant access to structured business information from billions of corporate, legal, and trade records. As a member of Sayari's data team you will work with the Product and Software Engineering teams to collect data from around the globe, maintain existing data pipelines, and develop new pipelines that power Sayari Graph. \n\n\n\nJob Responsibilities:\n* Write and deploy crawling scripts to collect source data from the web\n* Write and run data transformers in Scala Spark to standardize bulk data sets\n* Write and run modules in Python to parse entity references and relationships from source data\n* Diagnose and fix bugs reported by internal and external users\n* Analyze and report on internal datasets to answer questions and inform feature work\n* Work collaboratively on and across a team of engineers using agile principles\n* Give and receive feedback through code reviews \n\n\n\nSkills & Experience:\n* Professional experience with Python and a JVM language (e.g., Scala)\n* 2+ years of experience designing and maintaining data pipelines\n* Experience using Apache Spark and Apache Airflow\n* Experience with SQL and NoSQL databases (e.g., columns stores, graph, etc.)\n* Experience working on a cloud platform like GCP, AWS, or Azure\n* Experience working collaboratively with Git\n* Understanding of Docker/Kubernetes\n* Interest in learning from and mentoring team members\n* Experience supporting and working with cross-functional teams in a dynamic environment\n* Passionate about open source development and innovative technology\n* Experience working with BI tools like BigQuery and Superset is a plus\n* Understanding of knowledge graphs is a plus\n\n\n\n\n$100,000 - $125,000 a yearThe target base salary for this position is $100,000 - $125,000 USD plus bonus. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above.\n\nBenefits: \n·       Limitless growth and learning opportunities\n·       A collaborative and positive culture - your team will be as smart and driven as you\n·       A strong commitment to diversity, equity & inclusion\n·       Exceedingly generous vacation leave, parental leave, floating holidays, flexible schedule, & other remarkable benefits\n·       Outstanding competitive compensation & commission package\n·       Comprehensive family-friendly health benefits, including full healthcare coverage plans, commuter benefits, & 401K matching\n \nSayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud and Engineer jobs that are similar:\n\n $50,000 — $100,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n

Who We Are:\n\nFounded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations. In the process, we’re disrupting video security to create a new category of Video Intelligence.\n\nWe are experiencing tremendous growth and are deployed at thousands of locations across businesses in 17 different verticals, ranging from local businesses to Fortune 500s. Our customers range from warehousing and healthcare to nonprofits and car washes including SpaceX, ExtraSpace Storage, WineDirect, YMCA, and Veg Fresh Farms.\n\nWe’ve recently raised $40M Series B financing to continue to transform how organizations use their video footage. We’re backed by Scale Venture Partners, Redpoint Ventures, Bessemer Venture Partners, StepStone Group, and MVP Ventures.\n\nWho You Are:\n\nYou’re a self-driven, highly skilled AI Infrastructure Engineer with expertise in designing, architecting, and productizing computer vision or other AI systems in cloud and on edge. You excel at building and shipping infrastructure and tooling for computer vision or other AI products in production, and bring a combination of passion and creativity along with a pragmatic approach. You have the skills to architect distributed AI systems that can handle millions of hours of customer footage. You know how to work cross functionally to meet the needs of multiple stakeholders, and you have a track record of success.\n\nNote: candidates for this role must be geographically located in the United States.\nWhat Excites You:\n\n\n\n* Working and mutually learning from an extremely high caliber engineering team\n\n* Developing real-time, high availability video intelligence systems in cloud and on edge, with lots of ownership and opportunities to implement novel solutions\n\n* Delivering video intelligence infrastructure and tools in ways that are thoughtful about end user privacy, such as edge inference and federated training\n\n* Designing, owning and scaling end-to-end edge and cloud AI platforms\n\n* Operating with autonomy in a fast paced environment\n\n* Communicating directly with customers to better understand their use-cases for iterating on future product roadmap\n\n\n\nWhat Gets Our Attention:\n\n\n* 3+ years of experience building and productizing AI infrastructure at scale both in cloud AND on edge\n\n* Track record of delivering outstanding results\n\n* Strong engineering fundamentals with various back-end technologies\n\n* Expertise leveraging leading cloud AI platforms, such as GCP, Azure, or AWS for real-time inferencing\n\n* Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable\n\n* Experience with real-time, edge AI systems with limited memory and compute resources\n\n* Experience building MLOps tools for automated testing, training and deployment\n\n* Outstanding communication skills\n\n* Ability to prioritize and synthesize engineering tasks with first principles thinking\n\n* Ability to rapidly pick up new technologies and techniques and implement them\n\nBachelor's degree in computer science or a related field; master's degree or higher preferred\n\n\n\nWhat’s In It For You:\n\n\nBase Salary Range: $123,000 - $190,000. Offered salary will be based on the offered candidate’s demonstrated attributes and competencies related to the role, as well as the offered candidate’s geographical location within the United States.  Your recruiting partner can share more details about the compensation range as it relates to your geography once your interview process has begun\n\nGenerous early stage equity\n\nMedical, dental and vision plan options \n\n401K with employer match\n\nFlexible and supportive time off practices, including self-managed PTO and a generous new parent leave policy\n\nLearning and development opportunities\n\nRemote work flexibility, including a stipend to set up your ideal home office\n\n\n\n\nWhat We Value:\n\nWe operate under a trio of company values:\n\nCustomer First, Always.  We are relentlessly curious about our customer’s goals, and seek the simplest solutions to solve their problems.\n\nOwn Your Outcomes.  We bias towards action, move fast, and iterate.  Everyone on our team is empowered to make decisions.\n\nIt’s a team effort.  We help each other succeed.  We leverage each other’s strengths to accomplish big goals together.\n\n\n\nAnd, we are creating and cultivating a diverse and inclusive culture where we celebrate individuals for what they accomplish, no matter who they are!  As an equal opportunity employer, we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\n\nCome join our journey! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Video, Cloud, Senior, Excel and Engineer jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Francisco, California, United States

\nAbout the Role\n\nAs a staff level Data Engineer at Maven Clinic, you will be responsible for driving the technical vision and roadmap for our Data Engineering and Data Platform teams. You will lead the design, implementation, and maintenance of a performant and cost efficient data pipelines (both batch and streaming), as well as contribute to the overall Maven data architecture, with the goal of expanding our data warehouse functionality and uplevel the data analytics and machine learning capabilities. You will work closely with cross-functional teams to ensure the delivery of high-quality data sets and features, that empower our key business and product decision makings, and eventually lead to Maven’s growth and customer success.\n\nKey Responsibilities\n\n\n* Lead the design, implementation and maintenance of highly performant and cost efficient data pipelines\n\n* In partnership with data platform and backend teams, contribute to the architecture design of a highly scalable and reliable data systems\n\n* Collaborate with product and service engineers in reviewing the modeling of the source datasets, guiding the holistic data vision between various data systems\n\n* Drive technical design discussions in all related data domains and provide guidance to team members on best practices, coding standards, and architecture principles.\n\n* Mentor and guide and mid-level data engineers, helping to develop their technical skills and cultivate a culture of continuous learning and improvement.\n\n* Identify and evaluate emerging technologies, tools, and trends that can drive innovation and improve the efficiency and effectiveness of our data engineering processes.\n\n\n\n\nQualifications\n\n\n* Bachelor's or Master's degree in Computer Science or related field, or equivalent experience.\n\n* Minimum of 7 years of experience in data engineering or relevant backend development, with a proven track record of building highly scalable, performant, and reliable data pipelines.\n\n* Extensive experience in using SQL or similar data processing language to process and analyze data\n\n* Extensive experience with data modeling for large distributed data warehouses (or a similar cloud based) solutions, is able to discuss in-depth about general principles and trade-offs of different modeling approaches.\n\n* Hands-on experience with one of the workflow orchestration tools (eg. Apache Airflow)\n\n* Excellent collaboration and communication skills, with a demonstrated ability to work effectively with cross-functional business partners, especially with teams outside of the engineering group\n\n* Working proficiency in one of the programming languages (Java, Python, Go, etc.) \n\n* Product mindset to embrace business needs and produce scalable data/engineering solutions\n\n* Experience leading technical design discussions and providing guidance on best practices, coding standards, and architecture principles.\n\n* Strong problem-solving and analytical skills, with a proven ability to deliver high-quality code in a fast-paced environment.\n\n\n\n\nAt Maven Clinic, we are committed to building a world-class digital healthcare platform that empowers women and families to live healthier and more fulfilling lives. If you are a seasoned engineer with a passion for building scalable, performant, and reliable systems, and want to make a real impact in the world of healthcare, we would love to hear from you.\n\nFor candidates in NYC or CO, the salary range for this role is $195,000 - $300,000 per year. You may also be entitled to receive a bonus, stock options, and benefits. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Cloud, Engineer and Backend jobs that are similar:\n\n $40,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nNew York City, New York, United States

\nWe are redefining how people approach their health\n\n\nZOE is combining scientific research at a scale never before imagined and cutting-edge AI to improve the health of millions.  \n\n\nCreated by the world’s top scientists, our personalised nutrition program is reimagining a fundamental human need – eating well for your own body. Currently available in the US and the UK, ZOE is already helping > 100k ZOE members to adopt healthier habits and live better. Our work and expertise in biology, engineering, data science, and nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nTo learn more, head to Spotify, Apple Podcasts, or Audible to listen to our Science & Nutrition Podcast (with 3 million listens!) \n\n\nA remote-first, high-growth startup, we are backed by founders, investors, and entrepreneurs who have built multi-billion dollar technology companies. We are always looking for innovative thinkers and builders to join our team on a thrilling mission to tackle epic health problems. Together, we can improve human health and touch millions of lives. \n\n\nWe value inclusivity, transparency, ownership, open-mindedness and diversity. We are passionate about delivering great results and learning in the open. We want our teams to have the freedom to make long-term, high-impact decisions, and the well-being of our teammates and the people around us is a top priority.\n\n\nCheck out what life is like for our tech team on ZOE Tech. \n\n\nWe’re looking for a Senior Data Engineer to take ZOE even further.\n\n\nAbout the team\n\n\nThe mission of the Core Science team is to transform research trials and data into personalised actionable recommendations that reach our members. We are currently developing a feedback loop to measure the efficacy of ZOE's nutrition and health advice, which will drive the evolution of our recommendations. In addition, the team is conducting supplementary studies in key areas, such as the microbiome, and constructing a platform to facilitate these trials alongside the main product. The team also maintains close collaboration with other stream-aligned teams to deliver scientific discoveries directly to the app.\n\n\nWe operate in a very dynamic and rewarding environment, where we work closely with all sorts of stakeholders to find the best solutions for both the business and our potential customers. Our agile, cross-functional teams use continuous delivery and regular feedback to ensure we deliver value to our customers on a daily basis. Our systems make use of Python, dbt, Apache Airflow, Kotlin, Typescript, React, and FastAPI. We deploy and operate our software using Kubernetes and ML models using VertexAI in GCP. \n\n\nAbout the role\n\n\nAs a Senior data engineer in the Core Science team, you will be working with scientists, data scientists and other engineers to build a platform that empowers our team to conduct scientific research trials and improve the efficacy of ZOE’s nutrition and health advice. Every line of code you write will be a catalyst for groundbreaking discoveries.\n\n\nIn this role, you will also have the opportunity to make a significant impact on the personal and professional development of our team by providing guidance, support, and expertise. You will play a crucial role in helping individuals achieve their goals, overcome challenges, and maximise their potential.\n\n\n\nYou'll be\n* Defining the data requirements from the research trials that the core Science team will run alongside data coming from the main product experience.\n* Automating data collection from a variety of sources (e.g. labs, questionnaires, study coordination tools).orchestrating integration of data derived from these trials into our data warehouse. \n* Coordinating with different product teams to ensure a seamless App experience for both study participants and paid customers. \n* Ensuring consistency and accuracy of all study data used for research and product development.  \n* Conducting exploratory data analysis to understand data patterns and trends. \n* Creating algorithms and ML models when necessary.  \n* Ensuring data security and compliance with regulatory standards.\n* Ensuring data accessibility to internal and external stakeholders with up-to-date documentation on data sources and schemes. \n\n\n\nWe think you’ll be great if you...\n* +6 years of experience in data engineering roles, with a proven track record of working on data integration, ETL processes, and data warehousing \n* Are proficient in Python and SQL and have experience with Data Warehouses (ex: BigQuery, SnowFlake) and interactive computing environments like Jupyter Notebooks.\n* Have knowledge of data governance principles and best practices for ensuring data quality, security, and compliance with regulatory standards.\n* Are detail-oriented and data-savvy to ensure the accuracy and reliability of the data. \n* Are someone who strives to keep their code clean, tests complete and maintained, and their releases frequent.\n* Have experience with cloud platforms like Google Cloud Platform (GCP) and platforms to schedule and monitor data workflows like Apache Airflow.\n* Have a solid understanding of best practices around CI/CD, containers and what a great release process looks like. \n* Have the ability to collaborate effectively with cross-functional teams and communicate technical concepts to non-technical stakeholders.\n* Have a mindset of collaboration, innovation, and a passion for contributing to groundbreaking scientific discoveries.\n\n\n\nNice to have\n* Have experience with dbt and Apache Airflow. \n* Have experience with ML modelling and ML Ops. \n* Have experience with privacy-preserving technologies such as federated learning and data synthesis. \n\n\n\n\n\nThese are the ideal skills, attributes, and experience we’re looking for in this role. Don’t worry if you don’t tick all the boxes, especially on the skills and experience front, we’re happy to upskill for the right candidate. \n\n\nLife as a ZOEntist – what you can expect from us:\nAs well as industry-benchmarked compensation and all the hardware and software you need, we offer a thoughtfully-curated list of benefits. We expect this list to evolve as we continue supporting our team members’ long-term personal and professional growth, and their wellbeing. \n\n\nRemote-first: Work flexibly – from home, our London office, or anywhere within the EU \nStock options: So you can share in our growth \nPaid time off: 28 days paid leave (25 holiday days, plus 2 company-wide reset days, and 1 “life event” day) \nEnhanced Parental Leave: On top of the statutory offering\nFlexible private healthcare and life assurance options\nPension contribution: Pay monthly or top up  – your choice. \nHealth and wellbeing: Like our Employee Assistance Program and Cycle to Work Scheme\nSocial, WFH, and Growth (L&D) budgets. Plus, multiple opportunities to connect, grow, and socialise \n\n\nWe’re all about equal opportunities \nWe know that a successful team is made up of diverse people, able to be their authentic selves. To continue growing our team in the best way, we believe that equal opportunities matter, so we encourage candidates from any underrepresented backgrounds to apply for this role. You can view our Equal Opportunities statement in full here. \n\n\nA closer look at ZOE \nThink you’ve heard our name somewhere before? We were the team behind the COVID Symptom Study, which has since become the ZOE Health Study (ZHS). We use the power of community science to conduct large-scale research from the comfort of contributors’ own homes. Our collective work and expertise in biology, engineering, and data/nutrition science have led to multiple breakthrough papers in leading scientific journals such as Nature Medicine, Science, The Lancet, and more.\n\n\nSeen ZOE in the media recently? Catch our co-founder Professor Tim Spector (one of the world’s most cited scientists) and our Chief Scientist Dr Sarah Berry on this BBC Panorama, and listen to CEO Jonathan Wolf unpack the latest in science and nutrition on our ZOE podcast. \n\n\nOh, and if you’re wondering why ZOE? It translates to “Life” in Greek, which we’re helping ZOE members enjoy to the fullest. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Python, Cloud, Senior and Engineer jobs that are similar:\n\n $60,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUK/EU or compatible timezone (Remote)